10,637 research outputs found
On Information and Energy Cooperation in Energy Harvesting Cognitive Radio
This paper considers the cooperation between primary and secondary users at
information and energy levels when both users are energy harvesting nodes. In
particular, a secondary transmitter helps relaying the primary message, and in
turn, gains the spectrum access as a reward. Also, the primary transmitter
supplies energy to the secondary transmitter if the latter is
energy-constrained, which facilitates an uninterrupted cooperation. We address
this two-level cooperation over a finite horizon with the finite battery
constraint at the secondary transmitter. While promising the rate-guaranteed
service to both primary and secondary users, we aim to maximize the primary
rate. We develop an iterative algorithm that obtains the optimal offline power
policies for primary and secondary users. To acquire insights about the
structure of the optimal solution, we examine specific scenarios. Furthermore,
we investigate the effects of the secondary rate constraint and finite battery
on the primary rate and the probability of cooperation. We show that the joint
information and energy cooperation increases the chances of cooperation and
achieves significant rate gains over only information cooperation.Comment: 6 pages, 4 figures, to be presented in IEEE PIMRC 201
Robust AN-Aided Beamforming Design for Secure MISO Cognitive Radio Based on a Practical Nonlinear EH Model
Energy harvesting techniques are promising in next generation wireless communication systems. However, most of the existing works are based on an ideal linear energy harvesting model. In this paper, a multiple-input single-output cognitive radio network is studies under a practical non-linear energy harvesting model. In order to improve the security of both the primary network and the secondary network, a cooperative jamming scheme is proposed. A robust artificial noise aided beamforming design problem is formulated under the bounded channel state information error model. The formulated problem is non-convex and challenging to be solved. Using S-procedure and the semidefinite relaxation method, a suboptimal beamforming can be obtained. Simulation results show that the performance achieved under the non-linear energy harvesting model may be better than that obtained under the linear energy harvesting model. It is also shown that the cooperation betwen the primary network and the secondary network can obtain a performance gain compared with that without this cooperation
Optimal time sharing in underlay cognitive radio systems with RF energy harvesting
Due to the fundamental tradeoffs, achieving spectrum efficiency and energy
efficiency are two contending design challenges for the future wireless
networks. However, applying radio-frequency (RF) energy harvesting (EH) in a
cognitive radio system could potentially circumvent this tradeoff, resulting in
a secondary system with limitless power supply and meaningful achievable
information rates. This paper proposes an online solution for the optimal time
allocation (time sharing) between the EH phase and the information transmission
(IT) phase in an underlay cognitive radio system, which harvests the RF energy
originating from the primary system. The proposed online solution maximizes the
average achievable rate of the cognitive radio system, subject to the
-percentile protection criteria for the primary system. The
optimal time sharing achieves significant gains compared to equal time
allocation between the EH and IT phases.Comment: Proceedings of the 2015 IEEE International Conference on
Communications (IEEE ICC 2015), 8-12 June 2015, London, U
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